Skip to navigationSkip to main contentSkip to right columnADVERTISEMENTMoz FarooqueMon, June 15, 2026 at 6:16 PM GMT+2 4 min readEssentially, Goldman Sachs is telling AI stock investors to look past the flashy headline profits and focus on the bills that are coming due.For the better part of the past few years, investors treated the AI spending boom as a clear win for Big Tech.Nvidia’s chips continued to sell like crazy, cloud demand surged, and S&P 500 profitability climbed to record levels.The trade felt simple: more AI spending meant greater earnings power.To put things in context, Bianco Research recently said the S&P 500’s 7.3% gain since Feb. 27, 2026, was almost entirely driven by AI-related stocks, with the rest of the index basically flat, as cited by MarketWatch.However, according to a Seeking Alpha report, Goldman’s message is less comfortable for AI stock investors.Though the rally still has support from the bottom line, the cost of staying in the AI race is becoming harder to ignore.Glowing AI chip with digital circuits and rising candlestick charts on a dark background, representing finance and technology. 3D Renderingpeshkov / Getty ImagesWhy Goldman says Big Tech’s AI spending is getting riskierGoldman Sachs’ message to AI stock investors is that the profit story has become a lot more complicated.More AI:Micron sits at the center of a red-hot chip rallyIBM CEO sends blunt message on AI and quantum computingAnthropic CEO makes shocking admission about AIInvestors were treating the AI buildout as a simple earnings tailwind.As I mentioned earlier, chip demand was robust, cloud sales were rising, and the S&P 500’s record profitability helped back up rich valuations.Goldman strategist Ben Snider now feels the same spending wave could start pressuring returns at the largest tech giants.The issue is not that AI demand has disappeared. It is that hyperscalers are spending aggressively to stay in the race.Goldman estimates major cloud operators will spend about $770 billion on capital expenditures in 2026, roughly equal to 100% of operating cash flow.Naturally, that higher data-center spending can drag on asset turnover, lift depreciation costs and weaken return on equity.So the singular growth argument is also being judged on whether AI can outrun the heightened costs of building out the infrastructure.Key numbers behind Goldman Sachs’ AI stock warningThe market’s valuation cushion looks thin: The S&P 500 trades at about 21x forward earnings, in the 87th percentile since 1980, so investors need profitability to stay strong.Corporate profitability is doing the heavy lifting: Goldman says S&P 500 ROE has climbed to a record 22%, helping justify rich valuations even as multiples have dropped.Big Tech remains the profit engine: The seven largest tech stocks generate about 44% ROE, up 9 percentage points in three years, showing why AI winners still spearhead the market.The AI bill is getting harder to ignore: Major cloud operators may spend roughly $770 billion on capex in 2026, equal to about 100% of operating cash flow, pressuring future returns.Terms and Privacy PolicyPrivacy & Cookie SettingsMore Info